Mills` methods are five methods of induction described by the philosopher John Stuart Mill in 1843 in his book A System of Logic.  They must shed light on issues of causation. Although Mills` methods are an important part of the serious study of natural phenomena, they have significant constraints. These methods can only be applied with care if all relevant pre-gonal circumstances are taken into account, which cannot be guaranteed in advance. One of the main characteristics of scientific methodology is verification and falsification. Remember J. 4 that an appeal is made to Dieun if we conclude for lack of evidence that something is the case or not. While there are times when a lack of evidence should lead to a judgment that the original claim is not substantiated (as in a criminal court), this is not the case in scientific practices. Mills` methods can only reveal evidence of probable causes; they don`t really offer an explanation. The discovery of causalities is an important step towards understanding the world, but it is only part of what we need. We also need to understand how and why some cases of causation work the way they do. The answers to these questions lead us to the possibility of identifying cause-and-effect relationships. We need to develop theories and hypotheses that underpin the scientific argument.
Mills` rule of understanding states that if, in all cases where an effect occurs, there is a single prior C factor common to all of these cases, then C is the cause of the effect. According to the table in this example, the only thing you ate was oysters. Therefore, if we apply the rule of concordance, we conclude that the consumption of oysters is the cause of the disease. Knowledge expands when we can verify or distort a hypothesis. This is because experimental tests are designed in such a way that the hypothesis is probably a general explanation of certain facts and not an isolated case. This type of experiment is controlled, which means that the experimental structures differ only from one variable (see the miles of difference method). The experimental group is the one that recovers the variable, while the control group does not. To see how each of the five methods works, we look at their practical application to a particular situation. Suppose an otherwise uneventful afternoon, the university nurse realizes that an unusual number of students suffer from severe digestive disorders.